Abstract Background Cancer is the second leading cause of death in the United States. exceeded only by heart disease. Extant cancer survival analyses have primarily focused on individual-level factors due to limited data availability from a single data source. There is a need to integrate data from different sources to simultaneously study as much risk factors as possible. https://www.pomyslnaszycie.com/us-topo-7-5-minute-map-for-booger-canyon-az-fashion/
An ontology-guided semantic data integration framework to support integrative data analysis of cancer survival
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